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Personal Greetings: Personalizing Robot Utterances Based on Novelty of Observed Behavior

Overview of attention for article published in International Journal of Social Robotics, November 2016
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Mentioned by

twitter
1 X user

Citations

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22 Dimensions

Readers on

mendeley
48 Mendeley
Title
Personal Greetings: Personalizing Robot Utterances Based on Novelty of Observed Behavior
Published in
International Journal of Social Robotics, November 2016
DOI 10.1007/s12369-016-0385-4
Authors

Dylan F. Glas, Kanae Wada, Masahiro Shiomi, Takayuki Kanda, Hiroshi Ishiguro, Norihiro Hagita

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 8 17%
Student > Bachelor 4 8%
Researcher 4 8%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 11 23%
Readers by discipline Count As %
Computer Science 15 31%
Business, Management and Accounting 8 17%
Psychology 5 10%
Engineering 4 8%
Social Sciences 2 4%
Other 2 4%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2016.
All research outputs
#15,393,913
of 22,901,818 outputs
Outputs from International Journal of Social Robotics
#272
of 368 outputs
Outputs of similar age
#195,924
of 310,682 outputs
Outputs of similar age from International Journal of Social Robotics
#3
of 3 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.